Artificial Intelligence Policy: A Roadmap
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Calo has identified justice and equity, use of force, safety and certification, privacy, power, taxation, and displacement of labour as key challenges of AI.
“Calo in his paper has identified - justice and equity, use of force, safety and certification, privacy, power, taxation and displacement of labour as the key challenges of AI (Calo, 2017).”
From Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy (2021) · cites this paper as Calo, 2017
The fear of the emergence of superintelligence is more frequently expressed by people who lack technical experience in the field of AI, while 'real' experts generally regard the idea of a strong AI as rather absurd.
“In this context, it is noteworthy that the fear of the emergence of superintelligence is more frequently expressed by people who lack technical experience in the field of AI-one just has to think of people like Stephen Hawking, Elon Musk or Bill Gates-while 'real' experts generally regard the idea of a strong AI as rather absurd (Calo 2017, 26).”
From The Ethics of AI Ethics: An Evaluation of Guidelines (2020) · cites this paper as Calo 2017
AI industry ethics guidelines serve to suggest to legislators that internal self-governance in science and industry is sufficient and that no specific laws are necessary to mitigate technological risks and eliminate abuse scenarios.
“Ethics guidelines of the AI industry serve to suggest to legislators that internal self-governance in science and industry is sufficient, and that no specific laws are necessary to mitigate possible technological risks and to eliminate scenarios of abuse (Calo 2017).”
From The Ethics of AI Ethics: An Evaluation of Guidelines (2020) · cites this paper as Calo 2017
AI laws are starting to germinate in the United States.
“AI laws are starting to germinate in the United States.”
From Artificial Intelligence and Privacy (2024) · cites this paper as [4]
Legal experts concerned with AI governance criticize ethical principles as flawed and inadequate in addressing AI's ethical and social issues.
“Legal experts concerned with AI governance issues criticize ethical principles as flawed and inadequate in addressing AI’s ethical and social issues.”
From Ethics and governance of trustworthy medical artificial intelligence (2023) · cites this paper as [80]
A few companies are keen to propose ethical standards rather than binding rules because there is no substantial penalty if they change or disregard ethical standards.
“A few companies are keen to propose ethical standards rather than binding rules. The reasons for this are apparent because there is no substantial penalty if they change or disregard ethical standards under this circumstance [80].”
From Ethics and governance of trustworthy medical artificial intelligence (2023) · cites this paper as [80]
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“Calo in his paper has identi fi ed – justice and equity, use of force, safety and certi fi cation, privacy, power, taxation and displacement of labour as the key challenges of AI (Calo, 2017).”
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Novel, M., Ardianto, B. C., Athayya, K. A., Meiliani, M., & Yuwono, L. G. (2025) · Journal of Community and Development · doi:10.47134/comdev.v6i1.1758 · Cited by 3 · see citing works
Contributions of Artificial Intelligence in Operational Risk Management
Carvalho, M. C., Gonçalves, R., Costa, R. L. D., Pereira, L., & Dias, Á. (2022) · International Journal of Intelligent Information Technologies · doi:10.4018/ijiit.296237 · Cited by 3 · see citing works
WHERE: Humans, Technology, and Humane Technology
Walther, C. C. (2024) · Springer eBooks · doi:10.1007/978-3-031-67823-3_2 · Cited by 3 · see citing works
The Intersection of Law and Technology: Reviewing the Legal Implications of Artificial Intelligence
Patel, B. N. (2024) · Indian Journal of Law. · doi:10.36676/ijl.v2.i4.47 · Cited by 3 · see citing works
Tang, Q., & Kamarudin, S. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-2170-7.ch014 · Cited by 3 · see citing works
Electronic Personhood: A Tertium Genus for Smart Autonomous Surgical Robots?
García-Micó, T. G. (2020) · Data science, machine intelligence, and law · doi:10.1007/978-3-030-50559-2_5 · Cited by 3 · see citing works
- Authors
- Calo, R.
- Affiliations
- University of Washington (US)
- Corresponding author
- Calo, Ryan
- ORCID
- Calo, Ryan
- Venue
- SSRN Electronic Journal
- Publisher
- Elsevier BV
- Published
- 2017
- ISSN
- 1556-5068 (ISSN-L)
- OpenAlex
- W2767123365
- Cited by
- 191
- References
- 22
- Citations by year
- 2026: 28 · 2025: 41 · 2024: 38 · 2023: 19 · 2022: 16 · 2021: 20 · 2020: 13 · 2019: 5 · 2018: 9 · 2017: 2
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Locations
- SSRN Electronic Journal (publishedVersion)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Law › Digitalization, Law, and Regulation
- Social Sciences › Political Science and International Relations › Artificial Intelligence in Law
- Keywords
- AI policy, algorithmic fairness, algorithmic justice, algorithmic accountability, use of force, AI safety, AI certification, privacy, taxation, job displacement, institutional configuration, public procurement
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